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Yield gap survey



Kazuki Saito
Contents
•   What is yield gap?
•   Why is yield gap study important?
•   Review for previous studies in Africa
•   Tentative protocol
•   Conclusions
What is yield gap?




YGM, model-based yield gap (potential yield is simulated with a model)
YGE, experiment-based yield gap (potential yield is estimated with a field experiment)
YGF, farmer-based yield gap (potential yield is estimated with maximum of farmers’ yields)
                                                                          (Lobell et al., 2009)
Why is yield gap study important?
•   Identify areas with potential to increase food supply
•   Identify causes of yield gap
•   Provide research prioritization
•   Identify measures to increase crop production
The causes of yield gaps (FAO, 2004)
• Biophysical
• Technical management
• Socio-economic: farmers’ knowledge, household
  income/expenses/investment
• Institutional/policy: government policy, rice price, credit, input
  supply, land tenure, market
• Technology transfer and linkages: competence and facilities of
  extension staff; farmers’ resistance to new technology
Previous studies on yield gaps in Africa
• 4 agroecological zones in West Africa
• Irrigated lowland, rainfed lowland and rainfed upland
• Assessment of on-farm yield variation and its causes
Assessment of on-farm yield variation
 • Crop cut
 • Visual estimate
 &
 • Managements
 • Stresses


Iron toxicity effect on rice yield
 > 4000 plots surveyed in Ivory
coast, Guinea, Ghana (Cherif et
al., 2009)
Yield gaps in West Africa: 40% of potential yield
                                    12                                  100% potential yield

                                                                           80% potential yield
             On-farm yield (t/ha)

                                    8



                                    4

                                                            y = 0.4337x
                                    0
                                         0     4              8               12
                                             Potential yield (t/ha)
Model-based yield gap was used for irrigated lowland, whereas experiment-based yield gap or farmer-
based yield gap was used for rainfed systems.
Irrigated lowland in Sahel, Sudan savanna, and Guinea savanna
    (Wopereis et al. 1999)
•   Timing and amount of N fertilizer
•   P and K deficiency
•   Unreliable irrigation
•   Delayed planting in the wet season
•   Weed control
•   Late harvesting


Irrigated lowland in Equatorial forest (Becker and Johnson, 1999)
•   Water control
•   Seedling age
•   Time of weeding
•   Number of N splits
•   P application
Rainfed lowland rice (Becker and Johnson, 2001)
•   Bunding
•   N rate
•   Fertilizer N split
•   P fertilizer
•   Timing of weed control

Rainfed upland rice (Becker and Johnson, 2001)
•   Fallow length
•   N availability
•   Weed management
•   Unidentified constraints may be drought, P, soil physical properties, or pests
Limitations in previous studies in Africa
• West Africa only
  >>> More than 10 countries including East Africa
• Unexplained yield gaps; unidentified factors
  >>> field monitoring using simple score (weed
  incidence, pest damage, field water condition, salinity and
  etc.)
  >>> soil nutrients & physical properties
Tentative protocol
• Survey plan
• Field survey and data collection
• Follow-up interview (after harvest)
Survey plan 1
• Selection of target community and fields by socio-
  economic unit, based on diagnostic survey
• 50-100 fields per hub
• Farmers often have several parcels in the community for
  rice cultivation, and one parcel is to be selected for this
  survey
• Weather station
Survey plan 2
• In the first visit, area to be surveyed is determined
  (at least 200 m2)
• Field survey is to be made at least every 15-20
  days from around 10 days after transplanting or
  direct seeding until harvest
• Field observers should not give advice on crop
  management practices to farmers
Field survey and data collection 1
Data collection at first visit                               Data collection at 2nd visit to visit before harvest
Code number for each surveyed area & sketching map
Latitude/longitude, and elevation (m)
Rice ecology
Approximate area of the parcel (include surveyed area)
Previous crops or length of fallow
Variety
Irrigation / drainage system
Land preparation method
Crop establishment method and intercropping
Crop density
Soil sampling
Establishment of plots where rice is harvested
Growth stages of rice plants                                 Growth stages of rice plants
Rice canopy cover                                            Rice canopy cover
Water status                                                 Water status
Iron toxicity (irrigated or rainfed lowland)                 Iron toxicity (irrigated or rainfed lowland only)
Alkali Injury & salt injury (irrigated or rainfed lowland)   Alkali injury & salt injury (irrigated or rainfed lowland only)
Weed infestation                                             Weed infestation
Canopy cover of crops intercropped with rice                 Canopy cover of crops intercropped with rice
                                                             Diseases
                                                             Insect pests
Field survey and data collection 2
Data collection on crop management practices (‘rate-and-
  date’), through interview and providing sheets in which
  farmers can fulfill their activities in the surveyed plot.
• Soil fertility management
• Weed management
• Pesticide use
• Water management
Field survey and data collection 3
Data collection at harvest
Rice canopy cover
Water status
Iron toxicity (irrigated or rainfed lowland)
Alkali Injury & salt injury (irrigated or rainfed lowland)
Weed infestation
Canopy cover of crops intercropped with rice
Harvest date
Yield
Lodging incidence
Rice samples for nutrient analysis
Spikelet fertility
Rat/bird damage
Follow-up survey
• Constraints and farmers’ poor crop management
  practices are identified

                  Follow-up interview


• Identify causes of poor crop management practices
• Get an idea about a level of farmers’ knowledge of rice
  cultivation and technologies use
Conclusions
• Multidisciplinary approach
• Intensive field observation + interview
• Training

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Yield gap survey saito nov 2011

  • 2. Contents • What is yield gap? • Why is yield gap study important? • Review for previous studies in Africa • Tentative protocol • Conclusions
  • 3. What is yield gap? YGM, model-based yield gap (potential yield is simulated with a model) YGE, experiment-based yield gap (potential yield is estimated with a field experiment) YGF, farmer-based yield gap (potential yield is estimated with maximum of farmers’ yields) (Lobell et al., 2009)
  • 4. Why is yield gap study important? • Identify areas with potential to increase food supply • Identify causes of yield gap • Provide research prioritization • Identify measures to increase crop production
  • 5. The causes of yield gaps (FAO, 2004) • Biophysical • Technical management • Socio-economic: farmers’ knowledge, household income/expenses/investment • Institutional/policy: government policy, rice price, credit, input supply, land tenure, market • Technology transfer and linkages: competence and facilities of extension staff; farmers’ resistance to new technology
  • 6. Previous studies on yield gaps in Africa • 4 agroecological zones in West Africa • Irrigated lowland, rainfed lowland and rainfed upland • Assessment of on-farm yield variation and its causes
  • 7. Assessment of on-farm yield variation • Crop cut • Visual estimate & • Managements • Stresses Iron toxicity effect on rice yield > 4000 plots surveyed in Ivory coast, Guinea, Ghana (Cherif et al., 2009)
  • 8. Yield gaps in West Africa: 40% of potential yield 12 100% potential yield 80% potential yield On-farm yield (t/ha) 8 4 y = 0.4337x 0 0 4 8 12 Potential yield (t/ha) Model-based yield gap was used for irrigated lowland, whereas experiment-based yield gap or farmer- based yield gap was used for rainfed systems.
  • 9. Irrigated lowland in Sahel, Sudan savanna, and Guinea savanna (Wopereis et al. 1999) • Timing and amount of N fertilizer • P and K deficiency • Unreliable irrigation • Delayed planting in the wet season • Weed control • Late harvesting Irrigated lowland in Equatorial forest (Becker and Johnson, 1999) • Water control • Seedling age • Time of weeding • Number of N splits • P application
  • 10. Rainfed lowland rice (Becker and Johnson, 2001) • Bunding • N rate • Fertilizer N split • P fertilizer • Timing of weed control Rainfed upland rice (Becker and Johnson, 2001) • Fallow length • N availability • Weed management • Unidentified constraints may be drought, P, soil physical properties, or pests
  • 11. Limitations in previous studies in Africa • West Africa only >>> More than 10 countries including East Africa • Unexplained yield gaps; unidentified factors >>> field monitoring using simple score (weed incidence, pest damage, field water condition, salinity and etc.) >>> soil nutrients & physical properties
  • 12. Tentative protocol • Survey plan • Field survey and data collection • Follow-up interview (after harvest)
  • 13. Survey plan 1 • Selection of target community and fields by socio- economic unit, based on diagnostic survey • 50-100 fields per hub • Farmers often have several parcels in the community for rice cultivation, and one parcel is to be selected for this survey • Weather station
  • 14. Survey plan 2 • In the first visit, area to be surveyed is determined (at least 200 m2) • Field survey is to be made at least every 15-20 days from around 10 days after transplanting or direct seeding until harvest • Field observers should not give advice on crop management practices to farmers
  • 15. Field survey and data collection 1 Data collection at first visit Data collection at 2nd visit to visit before harvest Code number for each surveyed area & sketching map Latitude/longitude, and elevation (m) Rice ecology Approximate area of the parcel (include surveyed area) Previous crops or length of fallow Variety Irrigation / drainage system Land preparation method Crop establishment method and intercropping Crop density Soil sampling Establishment of plots where rice is harvested Growth stages of rice plants Growth stages of rice plants Rice canopy cover Rice canopy cover Water status Water status Iron toxicity (irrigated or rainfed lowland) Iron toxicity (irrigated or rainfed lowland only) Alkali Injury & salt injury (irrigated or rainfed lowland) Alkali injury & salt injury (irrigated or rainfed lowland only) Weed infestation Weed infestation Canopy cover of crops intercropped with rice Canopy cover of crops intercropped with rice Diseases Insect pests
  • 16. Field survey and data collection 2 Data collection on crop management practices (‘rate-and- date’), through interview and providing sheets in which farmers can fulfill their activities in the surveyed plot. • Soil fertility management • Weed management • Pesticide use • Water management
  • 17. Field survey and data collection 3 Data collection at harvest Rice canopy cover Water status Iron toxicity (irrigated or rainfed lowland) Alkali Injury & salt injury (irrigated or rainfed lowland) Weed infestation Canopy cover of crops intercropped with rice Harvest date Yield Lodging incidence Rice samples for nutrient analysis Spikelet fertility Rat/bird damage
  • 18. Follow-up survey • Constraints and farmers’ poor crop management practices are identified Follow-up interview • Identify causes of poor crop management practices • Get an idea about a level of farmers’ knowledge of rice cultivation and technologies use
  • 19. Conclusions • Multidisciplinary approach • Intensive field observation + interview • Training